相関 (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "相関" in Japanese language version.

refsWebsite

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14doi.org

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4jstor.org

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3nih.gov

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2kotobank.jp

178^th place

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2bellcurve.jp

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2arxiv.org

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2worldcat.org

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1atarimae.biz

low place

1stat.go.jp

3,170^th place

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1mathwords.net

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1nips.cc

low place

1ism.ac.jp

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4,965^th place

1nag-j.co.jp

low place

1portfoliooptimizer.io

low place

1otsuka.co.jp

low place

3,121^st place

1rgdoi.net

low place

1stackexchange.com

1,983^rd place

3,653^rd place

arxiv.org

Sz?kely, G. J. Rizzo; Bakirov, N. K. (2007). “Measuring and testing independence by correlation of distances”. Annals of Statistics 35 (6): 2769?2794. arXiv:0803.4101. doi:10.1214/009053607000000505.
Sz?kely, G. J.; Rizzo, M. L. (2009). “Brownian distance covariance”. Annals of Applied Statistics 3 (4): 1233-1303. arXiv:1010.0297. doi:10.1214/09-AOAS312. PMC 2889501. PMID 20574547.

atarimae.biz

遠田祐人「相関係数とは何か。その求め方・公式・使い方と3つの注意点」2020年2月9日

bellcurve.jp

統計WEB「正の相関と負の相関」2022年1月3日閲覧。
統計WEB「18-3. 推定量の性質」BellCurve、2022年1月3日閲覧。

doi.org

Rodgers, J. L.; Nicewander, W. A. (1988). “Thirteen ways to look at the correlation coefficient”. The American Statistician 42 (1): 59-66. doi:10.1080/00031305.1988.10475524. JSTOR 2685263.
Mahdavi Damghani B. (2013). “The Non-Misleading Value of Inferred Correlation: An Introduction to the Cointelation Model”. Wilmott Magazine 2013 (67): 50-61. doi:10.1002/wilm.10252.
Sz?kely, G. J. Rizzo; Bakirov, N. K. (2007). “Measuring and testing independence by correlation of distances”. Annals of Statistics 35 (6): 2769?2794. arXiv:0803.4101. doi:10.1214/009053607000000505.
Sz?kely, G. J.; Rizzo, M. L. (2009). “Brownian distance covariance”. Annals of Applied Statistics 3 (4): 1233-1303. arXiv:1010.0297. doi:10.1214/09-AOAS312. PMC 2889501. PMID 20574547.
Nikolić, D; Muresan, RC; Feng, W; Singer, W (2012). “Scaled correlation analysis: a better way to compute a cross-correlogram”. European Journal of Neuroscience 35 (5): 1-21. doi:10.1111/j.1460-9568.2011.07987.x. PMID 22324876.
Higham, Nicholas J. (2002). “Computing the nearest correlation matrix-a problem from finance”. IMA Journal of Numerical Analysis 22 (3): 329-343. doi:10.1093/imanum/22.3.329.
Borsdorf, Rudiger; Higham, Nicholas J.; Raydan, Marcos (2010). “Computing a Nearest Correlation Matrix with Factor Structure.”. SIAM J. Matrix Anal. Appl. 31 (5): 2603-2622. doi:10.1137/090776718.
Qi, HOUDUO; Sun, DEFENG (2006). “A quadratically convergent Newton method for computing the nearest correlation matrix.”. SIAM J. Matrix Anal. Appl. 28 (2): 360-385. doi:10.1137/050624509.
Aldrich, John (1995). “Correlations Genuine and Spurious in Pearson and Yule”. Statistical Science 10 (4): 364-376. doi:10.1214/ss/1177009870. JSTOR 2246135.
Mahdavi Damghani, Babak (2012). “The Misleading Value of Measured Correlation”. Wilmott Magazine 2012 (1): 64-73. doi:10.1002/wilm.10167.
Anscombe, Francis J. (1973). “Graphs in statistical analysis”. The American Statistician 27 (1): 17-21. doi:10.2307/2682899. JSTOR 2682899.
Taraldsen, Gunnar (2021). “The Confidence Density for Correlation” (英語). Sankhya A. doi:10.1007/s13171-021-00267-y. ISSN 0976-8378.
Taraldsen, Gunnar (2020) (英語). Confidence in Correlation. doi:10.13140/RG.2.2.23673.49769.
Bowley, A. L. (1928). “The Standard Deviation of the Correlation Coefficient”. Journal of the American Statistical Association 23 (161): 3134. doi:10.2307/2277400. ISSN 0162-1459. https://www.jstor.org/stable/2277400.

ism.ac.jp

野澤勇樹、中村信弘「確率的依存構造をもつコピュラモデル」『統計数理』第68巻第1号、統計数理研究所、2020年、87-106頁。コピュラモデルに関しては従属ではなく「依存」という訳語を使っている。意味合いは従属・相関と同じ。

jstor.org

Rodgers, J. L.; Nicewander, W. A. (1988). “Thirteen ways to look at the correlation coefficient”. The American Statistician 42 (1): 59-66. doi:10.1080/00031305.1988.10475524. JSTOR 2685263.
Aldrich, John (1995). “Correlations Genuine and Spurious in Pearson and Yule”. Statistical Science 10 (4): 364-376. doi:10.1214/ss/1177009870. JSTOR 2246135.
Anscombe, Francis J. (1973). “Graphs in statistical analysis”. The American Statistician 27 (1): 17-21. doi:10.2307/2682899. JSTOR 2682899.
Bowley, A. L. (1928). “The Standard Deviation of the Correlation Coefficient”. Journal of the American Statistical Association 23 (161): 3134. doi:10.2307/2277400. ISSN 0162-1459. https://www.jstor.org/stable/2277400.

kotobank.jp

コトバンク「相関」精選版日本国語大辞典の解説より。
コトバンク「ダミー変数」世界大百科事典第２版の解説より

mathwords.net

具体例で学ぶ数学「確率における独立と従属の意味と例」2018年2月5日

nag-j.co.jp

NAG「最近傍相関行列の計算」2022年1月3日

nih.gov

pubmed.ncbi.nlm.nih.gov

Sz?kely, G. J.; Rizzo, M. L. (2009). “Brownian distance covariance”. Annals of Applied Statistics 3 (4): 1233-1303. arXiv:1010.0297. doi:10.1214/09-AOAS312. PMC 2889501. PMID 20574547.
Nikolić, D; Muresan, RC; Feng, W; Singer, W (2012). “Scaled correlation analysis: a better way to compute a cross-correlogram”. European Journal of Neuroscience 35 (5): 1-21. doi:10.1111/j.1460-9568.2011.07987.x. PMID 22324876.

ncbi.nlm.nih.gov

Sz?kely, G. J.; Rizzo, M. L. (2009). “Brownian distance covariance”. Annals of Applied Statistics 3 (4): 1233-1303. arXiv:1010.0297. doi:10.1214/09-AOAS312. PMC 2889501. PMID 20574547.

nips.cc

papers.nips.cc

Lopez-Paz D. and Hennig P. and Sch?lkopf B. (2013). "The Randomized Dependence Coefficient", "Conference on Neural Information Processing Systems" Reprint

otsuka.co.jp

大塚製薬「免疫力低下の原因」2022年1月3日閲覧。

portfoliooptimizer.io

“Portfolio Optimizer”. portfoliooptimizer.io/. 2021年1月30日閲覧。

rgdoi.net

Taraldsen, Gunnar (2020) (英語). Confidence in Correlation. doi:10.13140/RG.2.2.23673.49769.

stackexchange.com

stats.stackexchange.com

“Derivation of the standard error for Pearson's correlation coefficient”. Cross Validated. 2021年7月30日閲覧。

stat.go.jp

内閣府統計局「なるほど統計学園　10.特徴を捉える」2022年1月3日閲覧。

worldcat.org

search.worldcat.org

Taraldsen, Gunnar (2021). “The Confidence Density for Correlation” (英語). Sankhya A. doi:10.1007/s13171-021-00267-y. ISSN 0976-8378.
Bowley, A. L. (1928). “The Standard Deviation of the Correlation Coefficient”. Journal of the American Statistical Association 23 (161): 3134. doi:10.2307/2277400. ISSN 0162-1459. https://www.jstor.org/stable/2277400.